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The aim achieved through this thesis was to ascertain how much the pollutions of black carbon (BC) from each European country systematically deviate from their expected values obtained by inverting a transport model. The model used is based on meteorological observations as well as black carbon values obtained in the past at different locations. It was achieved by fitting a linear regression model
Urban planning has historically prioritized car traffic, often at the expense of pedestrian safety and accessibility. This study aims to explore how pedestrian behavior and preferences can be integrated into the design of more walkable urban environments. The purpose of this work is to identify specific pedestrian behaviors, such as shortcuts, that should be included in the planning of urban areas
Adaptation strategies can backfire and cause maladaptive outcomes, yet this is an understudied area in Swedish adaptation work, and a conceptually challenging theme with potential justice implications. The study explored the potential existence of maladaptation in Swedish municipalities in the Motala ström catchment area in collaboration with the FairWater research project, through conducting 18 q
Examensarbetets titel: Myter som insats: En studie om hur spelbolag legitimerar sig genom myter i sin marknadsföring inom en kontroversiell bransch Seminariedatum: 03-06-2025 Ämne/kurs: FEKH29, Examensarbete i marknadsföring på kandidatnivå, 15 högskolepoäng Författare: Lo Lindstam, Lovisa Robertsson, Melvin Nilsson Handledare: Peter Svensson Fem nyckelord: Spelbolag, Legitimitet, Nyinstitutionell
Diffusion magnetic resonance imaging (MRI) is a technique that utilizes the random thermal motion of water molecules to probe the microstructure of the tissue. Because it has excellent soft tissue contrast and high sensitivity to changes in the microstructure, it has established itself as a powerful tool to detect and quantify both normal development and pathological processes. Diffusion encoding
Background and Aim: Artificial intelligence (AI) in mammography screening can aid cancer detection. Commercially available AI systems can assign region and exam scores based on malignancy suspicion. Despite promising suggestions, clinical implementation is limited- partly due to a lack of trust among radiologist and prospective evaluation. Inevitably, this leads to the question of how an AI system
Introduction: Idiopathic normal pressure hydrocephalus (iNPH) is a treatable but largely underdiagnosed neurological condition affecting the elderly population. It is characterised by gait and cognitive impairment, as well as urinary incontinence. For the most part, it is diagnosed via imaging and clinical assessments. Abnormalities in cerebrospinal (CSF) flow in the cerebral aqueduct have been li
The transition to renewable energy and distributed energy sources is transforming power systems, increasing the need for active filtering systems to maintain power quality. This thesis presents a comprehensive study of control strategies for Active Dynamic Filters (ADF), focusing on how the control strategies: PI control, cascade control, direct feedforward, and passive damping can be used to dire
The decommissioning and dismantling of nuclear power plants (NPPs) require extensive radiation measurements to map contamination in concrete structures and other building materials and components. The vast amount of material to map consists of concrete. Accurate determination of the depth distribution of radionuclides, particularly easy-to-measure (ETM) gamma emitting radionuclides such as cobalt-
Global food systems are increasingly vulnerable to climate change, energy volatility, and geopolitical disruptions—threatening the security and stability of perishable supply chains. This thesis investigates the potential of aseptic packaging technologies, specifically ultra-high-temperature (UHT) treatment and sterile filling, as a means to reduce energy consumption and enhance resilience in the
Title: Formal Decisions, Informed Futures: A Study of How Decision-Making Processes and Controls Shape Organizational Learning in Knowledge-Intensive Firms Hand in date: 27th May 2025 Seminar date: 4th June 2025 Course: BUSN79 Degree Project in Accounting and Finance Authors: Thelma Hedén & Oscar Svensson Advisor: Anders Anell Examiner: Liesel Klemcke Five Keywords: Decision-Making, O
This thesis explores the antecedents and consequences of introducing Artificial General Intelligence (AGI)-based agents into organizational teams, with a comparative focus on New Venture Teams (NVTs) and Established Venture Teams (EVTs) in the B2B SaaS sector. Drawing on the Input-Mediator-Output-Input (IMOI) framework, the study employs a multiple-case qualitative design, analyzing 14 semi-struct
This thesis establishes the first quantitative exploration on celebrity politicians and Philippine provincial development. The frameworks of patron-client-factions, caciquism and bossism, extracted from the established political dynasty literature are harnessed in order to establish the comparative impacts of four classes of provincial governors (dynast, celebrity, celebrity-dynast and regular) on
Engineering Education faces increasing demands to improve the quality of teaching and learning. At the same time, universities are described as slow-moving institutions and evaluations highlight recuring challenges. A key prerequisite for change is learning. This thesis aims to investigate the relationship between organisational learning and teachers’ decisions regarding course development in engi
Semantic search using large language models (LLMs) combined with an approximate nearest neighbor (ANN) index is the current state of the art in search technology. Semantic search aims to match a user’s search query based on its contextual meaning and intent with a highly relevant search result, rather than relying solely on matching keywords. While semantic search is superior to keyword-based sear
In robotic systems, uncertainty in model parameters, such as joint stiffness, link lengths, or mass distributions, can significantly affect performance and precision. This thesis investigates the quantification and propagation of such uncertainties using the programming language Julia, with a focus on developing a systematic framework for uncertainty-aware modeling and simulation. It leverages the
With the rapid diffusion of short video social media, a wave of rural influencers has emerged on China’s TikTok (Douyin), using short-form content to build personal brands and engage in sociocultural expression. Anchored in practice theory (Shove et al., 2012), this study adopts the “material–competence–meaning” triadic model to examine how these rural creators strategically construct personal bra
Syftet med detta arbete var att undersöka hur data på ett smidigt sätt kan överföras från Excel till en relationsdatabas, samt hur en sådan databas kan användas för att effektivisera processer inom automationsprojekt. Arbetet inleddes med intervjuer för att identifiera vilka delar av automationsprojekten som upplevdes som ineffektiva, samt vilka lösningar som efterfrågades. Därefter inleddes progr
